iSpot.tv

Senior Research Data Scientist

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Advertising, Marketing, Data ScienceIndustries

Requirements

Candidates should possess a Bachelor’s degree in mathematics, economics, statistics, software engineering, computer science, physics, or another quantitative discipline, with an advanced degree preferred. They must have at least 5 years of experience in data science and/or modeling, demonstrating deep technical understanding of machine learning, statistics, data science, and related fields. Proficiency in quantitative software tools such as Python, R, and SQL is essential, along with experience working with high dimensional data sets and a pragmatic, team-oriented approach.

Responsibilities

The Senior Research Data Scientist will conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets, develop, train, and deploy state-of-the-art machine learning models to solve measurement problems, and work with the Data Engineering team to design and implement efficient data pipelines. They will provide technical guidance and mentorship to junior data scientists, stay up-to-date with the latest data science techniques, and explore novel approaches to solve complex challenges, ultimately contributing to the growth of iSpot.tv’s audience measures, lift analytics, and creative testing.

Skills

Data Analysis
Statistical Modeling
Machine Learning
Data Pipelines
Python
R
SQL
Data Engineering
Model Development
Data Science

iSpot.tv

TV ad measurement and attribution services

About iSpot.tv

iSpot.tv specializes in TV Attribution, helping businesses understand the impact of their TV advertising on real-world results like store visits and sales. Their platform uses data from a large collection of TV ads and insights from 12 million opted-in Smart TVs to provide real-time measurement of ad impressions and viewer attention. iSpot primarily serves disruptive brands across various industries, offering a subscription-based service that integrates with clients' existing marketing tools to enhance the effectiveness of their TV campaigns. Unlike competitors, iSpot focuses on delivering advanced analytics and insights that allow brands to optimize their advertising strategies based on actual business outcomes. The company's goal is to empower brands to maximize their advertising investments through precise measurement and actionable insights.

Key Metrics

Bellevue, WashingtonHeadquarters
2012Year Founded
$372.3MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Consumer Software, EntertainmentIndustries
201-500Employees

Benefits

Stock Options
Hybrid Work Options
Flexible Work Hours

Risks

Competition from companies like FuboTV could challenge iSpot's market share.
Former iSpot executives joining competitors may lead to knowledge transfer risks.
Complex media landscape may affect the effectiveness of iSpot's collaborations.

Differentiation

iSpot.tv offers real-time analytics for TV ads, unlike legacy solutions.
The company provides cross-platform measurement, unifying TV and digital ad performance.
iSpot.tv's platform integrates seamlessly with existing marketing tools for enhanced ad optimization.

Upsides

Growing demand for cross-platform measurement boosts iSpot.tv's market potential.
Partnerships with companies like Roku enhance iSpot.tv's data accuracy and ad targeting.
The rise of programmatic TV advertising increases demand for iSpot.tv's advanced capabilities.

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